Results 231 to 240 of about 2,350,350 (281)

Ordinal Association Rules towards Association Rules

2003
Intensity of inclination, an objective rule-interest measure, allows us to extract implications on databases without having to go through the step of transforming the initial set of attributes into binary attributes, thereby avoiding obtaining a prohibitive number of rules of little significance with many redundancies.
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SDS-rules and association rules

Proceedings of the 2004 ACM symposium on Applied computing, 2004
The association rule expresses the relation between premise (antecedent) and consequence (succedent). The relation is given by a truth-condition, which can be verified on a given four-fold contingency table denoting the frequencies of objects in some matrix of analyzed data (not-)satisfying antecedent and succedent. This method is more general than the
Tomáš Karban, Jan Rauch, Milan Šimůnek   +2 more
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Association Rule and Quantitative Association Rule Mining among Infrequent Items

Proceedings of the 8th international workshop on Multimedia data mining: (associated with the ACM SIGKDD 2007), 2007
Association rule mining among frequent items has been extensively studied in data mining research. However, in recent years, there is an increasing demand for mining infrequent items (such as rare but expensive items). Since exploring interesting relationships among infrequent items has not been discussed much in the literature, in this chapter, the ...
Ling Zhou, Stephen Yau
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Exception rules in association rule mining

Applied Mathematics and Computation, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taniar, David., Lee, Vincent., Daly, Olena., Rahayu, Wenny.   +3 more
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Local mining of Association Rules with Rule Schemas

2009 IEEE Symposium on Computational Intelligence and Data Mining, 2009
One of the central problems in Knowledge Discovery in Databases, more precisely in the field of Association Rule Mining, relies on the very large number of rules that classic rule mining systems extract. This problem is usually solved by means of a post-processing step, that filters the entire volume of extracted rules, in order to output only a few ...
Olaru, Andrei, Marinica, Claudia, Guillet, Fabrice   +2 more
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Learning Fuzzy Association Rules and Associative Classification Rules

2006 IEEE International Conference on Fuzzy Systems, 2006
Learning association rules and/or associative classification rules has been extensively studied in data mining and knowledge discovery community. Associative classification rules are considered as constrained association rules. Mining traditional association rules from transaction databases, however, has suffered some limitations.
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Association Rule Hiding Methods

WIREs Data Mining and Knowledge Discovery, 2009
The enormous expansion of data collection and storage facilities has created an unprecedented increase in the need for data analysis and processing power. Data mining has long been the catalyst for automated and sophisticated data analysis and interrogation.
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Logic of Association Rules

Applied Intelligence, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Association Rule

Businesses are increasingly seeking to understand consumer behavior and purchasing habits in order to analyze the relationship between different products purchased by customers. By leveraging the Association Rule mining technique, businesses can identify complementary products and bundle them together to increase sales.
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Association Rules Using Rough Set and Association Rule Methods

2002
With the wide applications of computers, database technologies and automated data collection techniques, large amount of data have been continuously collected into databases. It creates great demands for analyzing such data and turning them into useful knowledge. Therefore, it is necessary and interesting to examine how to extract hidden information or
Defit Sarjon, Noor Md Sap Mohd
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